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Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Luxembourg ( Ville de Luxembourg )
  • Design / Civil engineering / Industrial engineering

Job description


The Supply Chain Optimization Technologies (SCOT) organisation owns Amazon's global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large-scale business, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.

The Automated Inventory Management team within SCOT seeks an experienced and motivated Data Scientist/Business Intelligence Engineer/Business Analyst with outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. The successful candidate will have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.

Additional responsibilities may include:
· Manipulating/mining data from database tables (Redshift, Oracle, Data Warehouse)
· Creating automated metrics using complex databases
· Providing analytical network support to improve quality and standard work results
· Researching root causes of issues, to identify process breakdowns and provide insight on potential solutions
· Researching machine learning algorithms
· Fostering culture of continuous engineering improvement through mentoring, feedback, and metrics

Ideal candidate profile


· 2+ years of quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business
· Bachelor's Degree in Engineering, Maths, Statistics, Finance, Computer Science, or related industry experience
· Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
· Experience using statistical software such as R, SAS, SPSS, Minitab
· Advanced user of Excel or Tableau, able to manipulate data, write macros and create charts and pivot tables
· SQL scripting for analysis and reporting
· Programming experience in one or more languages (eg Python, VBA, MATLAB, Java, C++)
· Experience processing, filtering and presenting insights around large data sets (millions of rows)
· Strong written and verbal communication skills. The role requires effective communication with colleagues from economics and business backgrounds